Director, AI Product Management in London

Director, AI Product Management in London

London Full-Time 63000 - 77000 £ / year (est.) On-site
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At a Glance

  • Tasks: Lead AI product strategy and shape innovative solutions for enterprise systems.
  • Company: Join LSEG, a global leader in financial markets infrastructure and data.
  • Benefits: Enjoy competitive salary, healthcare, retirement planning, and paid volunteering days.
  • Other info: Be part of a diverse team committed to innovation and sustainability.
  • Why this job: Make a significant impact on AI capabilities that drive real business value.
  • Qualifications: Experience in product management, AI, and complex enterprise environments required.

The predicted salary is between 63000 - 77000 £ per year.

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs.

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives.

LSEG Corporate Engineering builds Group-wide AI products and services that help colleagues find trusted knowledge, complete work and interact with enterprise systems more effectively. Reporting to the Head of AI and Data, you will own product strategy, roadmap prioritisation and value realisation for these AI products. You will work closely with engineering, architecture, security and business stakeholders, to balance customer outcomes, technical realities and enterprise governance.

This role is suited to someone who understands that successful enterprise AI depends on much more than models. Trusted knowledge, data, context, tooling, workflow integration, evaluations, governance and adoption all play a role in delivering products that create measurable value.

WHAT YOU'LL BE DOING

  • Deliver the strategy: Shape the product direction for AI capabilities that improve knowledge discovery, automation, operational efficiency and employee productivity across the organisation.
  • Define how reusable tools, skills and workflow integrations connect AI experiences to enterprise systems and data.
  • Set expectations for answer quality, retrieval, grounding, access controls, feedback and continuous improvement.
  • Keep the roadmap focused as demand grows across the organisation, creating clear narratives, decision papers and investment cases.
  • Monitor emerging products, technologies and delivery patterns, assessing where they can create differentiated value.

Partner across the organisation:

  • Engage with customer teams to define priorities, test demand, shape adoption and ensure AI products solve meaningful problems.
  • Work with engineering to ensure product direction is grounded in practical delivery patterns, production readiness and engineering reality.
  • Partner with architecture, cyber security, risk, governance and AI platform teams to make roadmaps practical, safe and deliverable.
  • Manage trade-offs across value, risk, cost, technical complexity, data readiness, entitlement constraints and time to market.
  • Manage demand, dependencies, adoption blockers, delivery risks and measurable value across the AI capability portfolio.
  • Sponsor R&D into emerging patterns for agentic workflows, context, tool use and AI-enabled business processes.

Lead the product function:

  • Lead and develop the AI product management team, establishing product practices and ways of working.
  • Establish and operate regular customer forums to test priorities, gather feedback, track adoption and keep the roadmap aligned to customer need and delivered value.
  • Represent the AI product portfolio with senior stakeholders, create confidence in delivery, controls and value realisation.

ABOUT YOU

You are an experienced product leader who has built and scaled platforms, data products and AI-enabled capabilities in a complex enterprise environment. You are comfortable operating in ambiguity, shaping strategy and turning broad business demand into clear product direction and deliverable outcomes.

WHAT YOU'LL BRING

  • Experience delivering products involving enterprise knowledge, workflow automation, AI-enabled decision support or large-scale data platforms.
  • Good judgement on product scope, sequencing, adoption and trade-offs.
  • Ability to turn unclear demand into focused product direction.
  • Clear communication with senior stakeholders, technical teams and control functions.
  • Experience in regulated, governed or operationally complex environments.

HOW WE WORK

We focus on useful outcomes. AI must solve real problems and create measurable value. We build for teams, and with teams. We reuse where possible. Patterns, Skills, MCP tools and inner sourcing help teams move faster and reduce duplication. We learn through delivery. We test ideas early, measure outcomes and adapt quickly based on evidence.

WHY THIS ROLE MATTERS

AI is now a core part of how products are built, how knowledge is used and how work gets done. LSEG is investing in a set of AI capabilities and products that let teams move faster while maintaining the standards required of a global financial markets organisation. This role will define how those capabilities evolve, where investment is focused and how value is realised across the organisation.

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law.

Director, AI Product Management in London employer: LSEG

LSEG is an exceptional employer that fosters a culture of integrity, partnership, and excellence, making it an ideal place for professionals seeking to make a meaningful impact in technology procurement. With a focus on employee growth, you will have the opportunity to lead high-value negotiations and develop a talented team while working in a dynamic environment in London, where innovation and continuous improvement are at the forefront. Join us to shape the future of Corporate Engineering technology and enjoy the benefits of a supportive workplace that values your contributions.

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Contact Details:

LSEG Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Director, AI Product Management in London

✨Join Local Tech Meetups

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✨Contribute to Open Source Projects

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We think you need these skills to ace Director, AI Product Management in London

Product Strategy
Roadmap Prioritisation
Value Realisation
AI Product Management
Stakeholder Engagement
Technical Depth
Workflow Automation

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at LSEG.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at LSEG and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at LSEG

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If LSEG uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.